---
license: apache-2.0
tags:
- novel view synthesis
- dynamic
- multi-view video
---

# Campus dataset for dynamic novel view synthesis 
From Paper [NeurIPS 2023 spotlight] [MSTH: Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction]()

[Paper]() | [Project Page](https://masked-spacetime-hashing.github.io) | [Code](https://github.com/masked-spacetime-hashing/msth)

## Dataset Description
Each scene contains:
- `<scene_name>_<camera_id>.mp4`: The multi-view videos collected for this scene.
- `transforms_<split>.json`: The camera poses and intrinsics estimated using COLMAP. The format is the same as [nerfstudio](https://docs.nerf.studio/quickstart/data_conventions.html).
- `colmap/`: The sparse point cloud and camera infos obtained during COLMAP pose estimation, could be used for methods starting with a sparse point cloud (like 3D Gaussian Splatting).

## Demos